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        <h1 style="margin: 0">数据文件配置说明</h1>
    </div>


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        <div style="padding: 20px 40px 0 40px">


            <ul class="summary" style="margin-left: -20px">

                <li class="chapter">
                    <a href="#download1" class="ques-title">安装数据文件，配置说明！</a>
                </li>
                <li class="chapter">
                    <a href="#download2" class="ques-title">测试数据详细信息！</a>
                </li>
            </ul>

            <div id="download1" class="title">
                <h3>安装数据文件，配置说明！</h3>

                <p>1、下载database.zip文件，
            <p><span><a href="http://vgyun.net:9000/resource/admin/download?fileName=database.zip"
            target="_blank" class="boot-color"><button>本地下载</button></a></span>
                <span style="margin-left: 2em"><a href="https://pan.baidu.com/s/1HbbiCrs0a-e_ctKn4NtVEg" target="_blank" class="boot-color">
                    <button>百度网盘</button></a></span></p>
                压缩包的目录结构为：</p>
                <p class="tree1">database</p>
                <p class="tree1">└── diamond_db</p>
                <p class="tree2">    ├── Animals.dmnd</p>
                <p class="tree2">    ├── Fungi.dmnd</p>
                <p class="tree2">    ├── ko.dmnd</p>
                <p class="tree2">    └── Plants.dmnd</p>


                <p>2、在软件安装目录解压缩database.zip文件。确保 VGenomics_RS/database/diamond_db 目录下存在以下4个文件：</p>
                <p class="tree1">├── Animals.dmnd</p>
                <p class="tree1">├── Fungi.dmnd</p>
                <p class="tree1">├── ko.dmnd</p>
                <p class="tree1">└── Plants.dmnd</p>
            </div>

            <div id="download2" class="title">
                <h3>测试数据详细信息！</h3>
                <p>测试数据：ref-based_test_rawdata.zip，
                <p><span><a href="http://vgyun.net:9000/resource/admin/download?fileName=ref-based_test_rawdata.zip"
                target="_blank" class="boot-color"><button>本地下载</button></a></span>
                    <span style="margin-left: 2em"><a href="https://pan.baidu.com/s/1Mk-0vkjiq_fs-tOBKOjGag" target="_blank" class="boot-color">
                        <button>百度网盘</button></a></span></p>
                压缩包，包含文件列表如下所示：</p>
                <p class="tree1">├── chr22_with_ERCC92.fa</p>
                <p class="tree1">├── chr22_with_ERCC92.gtf</p>
                <p class="tree1">├── gene_GO_anno.txt</p>
                <p class="tree1">├── gene_KEGG_anno.txt</p>
                <p class="tree1">├── HBR_Rep1_ERCC-Mix2_Build37-ErccTranscripts-chr22.read1.fastq</p>
                <p class="tree1">├── HBR_Rep1_ERCC-Mix2_Build37-ErccTranscripts-chr22.read2.fastq</p>
                <p class="tree1">├── HBR_Rep2_ERCC-Mix2_Build37-ErccTranscripts-chr22.read1.fastq</p>
                <p class="tree1">├── HBR_Rep2_ERCC-Mix2_Build37-ErccTranscripts-chr22.read2.fastq</p>
                <p class="tree1">├── HBR_Rep3_ERCC-Mix2_Build37-ErccTranscripts-chr22.read1.fastq</p>
                <p class="tree1">├── HBR_Rep3_ERCC-Mix2_Build37-ErccTranscripts-chr22.read2.fastq</p>
                <p class="tree1">├── UHR_Rep1_ERCC-Mix1_Build37-ErccTranscripts-chr22.read1.fastq</p>
                <p class="tree1">├── UHR_Rep1_ERCC-Mix1_Build37-ErccTranscripts-chr22.read2.fastq</p>
                <p class="tree1">├── UHR_Rep2_ERCC-Mix1_Build37-ErccTranscripts-chr22.read1.fastq</p>
                <p class="tree1">├── UHR_Rep2_ERCC-Mix1_Build37-ErccTranscripts-chr22.read2.fastq</p>
                <p class="tree1">├── UHR_Rep3_ERCC-Mix1_Build37-ErccTranscripts-chr22.read1.fastq</p>
                <p class="tree1">├── UHR_Rep3_ERCC-Mix1_Build37-ErccTranscripts-chr22.read2.fastq</p>

                <p style="margin-top: 25px;
                    margin-bottom: 5px">数据说明：</p>

                <table style="text-align: left;
                    font-weight: unset">
                    <tbody>
                        <tr>
                            <th width="20%">chr22_with_ERCC92.fa</th>
                            <th width="800px"><p>
                                only a single chromosome (chr22) and the ERCC spike-in, that is the human GRCh38 version of the genome from Ensembl.</p></th>
                        </tr>
                        <tr>
                            <th>chr22_with_ERCC92.gtf</th>
                            <th>annotations obtained from Ensembl (Homo_sapiens.GRCh38.86.gtf.gz) for chromosome 22 only.</th>
                        </tr>
                        <tr>
                            <th>gene_GO_anno.txt</th>
                            <th>GO functional annotation file.</th>
                        </tr>
                        <tr>
                            <th>gene_KEGG_anno.txt</th>
                            <th>KEGG functional annotation file.</th>
                        </tr>
                        <tr>
                            <th>*.fastq</th>
                            <th>
                                <p style="margin-top: 4px">
                                    The test data consists of two commercially available RNA samples:
                                    <a href="https://github.com/griffithlab/rnaseq_tutorial/wiki/ResourceFiles/UHR.pdf" target="_blank">
                                        Universal Human Reference (UHR)</a>and
                                    <a href="https://github.com/griffithlab/rnaseq_tutorial/wiki/ResourceFiles/HBR.pdf" target="_blank">
                                        Human Brain Reference (HBR)</a>
                                    . The UHR is total RNA isolated from a diverse set of 10 cancer
                                    cell lines. The HBR is total RNA isolated from the brains of 23 Caucasians, male and female, of
                                    varying age but mostly 60-80 years old.</p>
                                <p style="margin-top: -13px;">
                                    In addition, a spike-in control was used. Specifically we added an aliquot of the
                                    <a href="https://github.com/griffithlab/rnaseq_tutorial/wiki/ResourceFiles/ERCC.pdf" target="_blank">
                                        ERCC ExFold RNA Spike-In Control Mixes</a>
                                    to each sample. The spike-in consists of 92
                                    transcripts that are present in known concentrations across a wide abundance range (from very few
                                    copies to many copies). </p></th>
                        </tr>
                    </tbody>
                </table>


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